Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127D2933922183E3D66178BF4F7A5B769126E8295F61F916CA2BC127026C7C94FC376C0 |
|
CONTENT
ssdeep
|
768:VTdfDMd4EmcYDw+2222EounWCYtyUjWWWSj:V57k4EmcYc+2222EounWkUjWWWSj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b226cd98ce8bdc8c |
|
VISUAL
aHash
|
ffc3c3e7e7cfffe7 |
|
VISUAL
dHash
|
234c0c4d0c969c4c |
|
VISUAL
wHash
|
83c3c3c3c4c0c7e7 |
|
VISUAL
colorHash
|
07000000c80 |
|
VISUAL
cropResistant
|
234c0c4d0c969c4c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 23 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.